Sequential adaptive utility decision making for system failure correction
B Houlding and
F. P. A. Coolen
Journal of Risk and Reliability, 2007, vol. 221, issue 4, 285-295
Abstract:
The theory of adaptive utility for sequential decision making offers a generalization of the classical Bayesian approach, permitting initial utility uncertainty. This paper examines how the possibility to learn preferences can be of interest for decisions in the area of reliability. The resulting differences in determining optimal strategies are explained and two examples are explored in which utility depends on the unknown cost of system failure. The paper concludes with a commentary on further research required.
Keywords: adaptive utility; sequential decision making; system failure (search for similar items in EconPapers)
Date: 2007
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://journals.sagepub.com/doi/10.1243/1748006XJRR87 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:sae:risrel:v:221:y:2007:i:4:p:285-295
DOI: 10.1243/1748006XJRR87
Access Statistics for this article
More articles in Journal of Risk and Reliability
Bibliographic data for series maintained by SAGE Publications ().